#infoq — Public Fediverse posts

Software development is entering a new wave of automation. With over 600+ AI-native dev tools flooding the landscape, the real challenge isn’t the technology itself - it’s the shift in our mental models.

According to DevOps pioneer Patrick Debois, we are moving toward 4 distinct AI-native development patterns:
1️⃣ Producer → Manager
2️⃣ Implementation → Intent
3️⃣ Delivery → Discovery
4️⃣ Content → Knowledge

AI isn’t replacing developers - it is fundamentally reshaping where engineering value is created!

🎬 Watch the #InfoQ video or read the #transcript here: https://bit.ly/4uAyonM

#SoftwareEngineering #DevOps #AINative #GenerativeAI #TechLeadership

#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.

By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.

🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K

#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps

#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.

By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.

🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K

#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps

#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.

By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.

🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K

#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps

#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.

By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.

🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K

#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps

#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.

By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.

🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K

#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps

Platform Engineering Labs has announced a major update to formae - its #opensource #IaC platform.

New capabilities include:
➤ Full Kubernetes support
➤ Native Helm integration
➤ Direct .tfvars compatibility
➤ A new public plugin hub

More details on #InfoQ ➤ https://bit.ly/4dM6hKC

#PlatformEngineering #DevOps #InfrastructureAsCode #Kubernetes #CloudNative

Platform Engineering Labs has announced a major update to formae - its #opensource #IaC platform.

New capabilities include:
➤ Full Kubernetes support
➤ Native Helm integration
➤ Direct .tfvars compatibility
➤ A new public plugin hub

More details on #InfoQ ➤ https://bit.ly/4dM6hKC

#PlatformEngineering #DevOps #InfrastructureAsCode #Kubernetes #CloudNative

#TamboUI - the first modern Java TUI library.

It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.

Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.

🔗 Learn more: https://bit.ly/49nNrIm

#InfoQ #Java #SoftwareDevelopment

#TamboUI - the first modern Java TUI library.

It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.

Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.

🔗 Learn more: https://bit.ly/49nNrIm

#InfoQ #Java #SoftwareDevelopment

#TamboUI - the first modern Java TUI library.

It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.

Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.

🔗 Learn more: https://bit.ly/49nNrIm

#InfoQ #Java #SoftwareDevelopment

#TamboUI - the first modern Java TUI library.

It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.

Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.

🔗 Learn more: https://bit.ly/49nNrIm

#InfoQ #Java #SoftwareDevelopment

#TamboUI - the first modern Java TUI library.

It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.

Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.

🔗 Learn more: https://bit.ly/49nNrIm

#InfoQ #Java #SoftwareDevelopment

A flurry of activity hit the #OpenJDK ecosystem this week!

Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalized

Read the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7

#Java #JDK17 #SoftwareDevelopment

A flurry of activity hit the #OpenJDK ecosystem this week!

Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalized

Read the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7

#Java #JDK17 #SoftwareDevelopment

A flurry of activity hit the #OpenJDK ecosystem this week!

Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalized

Read the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7

#Java #JDK17 #SoftwareDevelopment

A flurry of activity hit the #OpenJDK ecosystem this week!

Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalized

Read the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7

#Java #JDK17 #SoftwareDevelopment

A flurry of activity hit the #OpenJDK ecosystem this week!

Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalized

Read the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7

#Java #JDK17 #SoftwareDevelopment

1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.

• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention

🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR

#SoftwareEngineering #AI

1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.

• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention

🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR

#SoftwareEngineering #AI

1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.

• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention

🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR

#SoftwareEngineering #AI

1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.

• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention

🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR

#SoftwareEngineering #AI

1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.

• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention

🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR

#SoftwareEngineering #AI

#Google has introduced Middleware for Genkit, its open-source framework for building AI-powered and agentic apps.

The update adds a programmable interception layer around model calls, tool execution, and generation loops - giving developers more control over reliability, safety, and orchestration in production AI systems.

🔗 Learn more: https://bit.ly/4v51ECo

#AI #InfoQ #Genkit #AgenticAI #LLM

It’s been a big week across the #Java ecosystem!

New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7

🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12

#SpringAI #Micronaut #WildFly #Kafka

It’s been a big week across the #Java ecosystem!

New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7

🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12

#SpringAI #Micronaut #WildFly #Kafka

It’s been a big week across the #Java ecosystem!

New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7

🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12

#SpringAI #Micronaut #WildFly #Kafka

It’s been a big week across the #Java ecosystem!

New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7

🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12

#SpringAI #Micronaut #WildFly #Kafka

It’s been a big week across the #Java ecosystem!

New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7

🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12

#SpringAI #Micronaut #WildFly #Kafka

#AWS has made its managed #ModelContextProtocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation & operational workflows through a standard interface.

It offers a safer, more auditable way to connect AI agents to AWS services without exposing broad credentials.

Learn more: https://bit.ly/49PyxL6

#CloudComputing #AI #AIAgents #InfoQ

#AWS has made its managed #ModelContextProtocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation & operational workflows through a standard interface.

It offers a safer, more auditable way to connect AI agents to AWS services without exposing broad credentials.

Learn more: https://bit.ly/49PyxL6

#CloudComputing #AI #AIAgents #InfoQ

#AWS has made its managed #ModelContextProtocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation & operational workflows through a standard interface.

It offers a safer, more auditable way to connect AI agents to AWS services without exposing broad credentials.

Learn more: https://bit.ly/49PyxL6

#CloudComputing #AI #AIAgents #InfoQ

#AWS has made its managed #ModelContextProtocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation & operational workflows through a standard interface.

It offers a safer, more auditable way to connect AI agents to AWS services without exposing broad credentials.

Learn more: https://bit.ly/49PyxL6

#CloudComputing #AI #AIAgents #InfoQ

#AWS has made its managed #ModelContextProtocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation & operational workflows through a standard interface.

It offers a safer, more auditable way to connect AI agents to AWS services without exposing broad credentials.

Learn more: https://bit.ly/49PyxL6

#CloudComputing #AI #AIAgents #InfoQ

#OpenTofu 1.12 is out!

This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.

Find out more: https://bit.ly/3RY6AdU

#InfoQ #DevOps #Terraform #InfrastructureAsCode

#OpenTofu 1.12 is out!

This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.

Find out more: https://bit.ly/3RY6AdU

#InfoQ #DevOps #Terraform #InfrastructureAsCode

#OpenTofu 1.12 is out!

This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.

Find out more: https://bit.ly/3RY6AdU

#InfoQ #DevOps #Terraform #InfrastructureAsCode

#OpenTofu 1.12 is out!

This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.

Find out more: https://bit.ly/3RY6AdU

#InfoQ #DevOps #Terraform #InfrastructureAsCode

#OpenTofu 1.12 is out!

This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.

Find out more: https://bit.ly/3RY6AdU

#InfoQ #DevOps #Terraform #InfrastructureAsCode

From engineering as we know it ➔ AI-native engineering.

Inside #Meta’s “AI for Productivity” (AI4P) initiative: what they tried, what worked, what still needs proof, and what they’ve ruled out (for now).

Watch #InfoQ video for more insights: https://bit.ly/4tRTzQA

#AI #SoftwareEngineering #EngineeringLeadership #AgenticAI #DevEx

From engineering as we know it ➔ AI-native engineering.

Inside #Meta’s “AI for Productivity” (AI4P) initiative: what they tried, what worked, what still needs proof, and what they’ve ruled out (for now).

Watch #InfoQ video for more insights: https://bit.ly/4tRTzQA

#AI #SoftwareEngineering #EngineeringLeadership #AgenticAI #DevEx

From engineering as we know it ➔ AI-native engineering.

Inside #Meta’s “AI for Productivity” (AI4P) initiative: what they tried, what worked, what still needs proof, and what they’ve ruled out (for now).

Watch #InfoQ video for more insights: https://bit.ly/4tRTzQA

#AI #SoftwareEngineering #EngineeringLeadership #AgenticAI #DevEx

From engineering as we know it ➔ AI-native engineering.

Inside #Meta’s “AI for Productivity” (AI4P) initiative: what they tried, what worked, what still needs proof, and what they’ve ruled out (for now).

Watch #InfoQ video for more insights: https://bit.ly/4tRTzQA

#AI #SoftwareEngineering #EngineeringLeadership #AgenticAI #DevEx

From engineering as we know it ➔ AI-native engineering.

Inside #Meta’s “AI for Productivity” (AI4P) initiative: what they tried, what worked, what still needs proof, and what they’ve ruled out (for now).

Watch #InfoQ video for more insights: https://bit.ly/4tRTzQA

#AI #SoftwareEngineering #EngineeringLeadership #AgenticAI #DevEx

The more advanced your automated systems are, the more critical - and flawed - the human element becomes.

In this #InfoQ video, J. Paul Reed breaks down the "Ironies of Automation" - and how modern AI creates dangerous new traps for software operators (i.e., you), especially during high-consequence, high-tempo situations (aka incidents).

📺 Watch now: https://bit.ly/4uqOD6j

📄 #transcript included

#DevOps #AI #IncidentResponse #Automation

The more advanced your automated systems are, the more critical - and flawed - the human element becomes.

In this #InfoQ video, J. Paul Reed breaks down the "Ironies of Automation" - and how modern AI creates dangerous new traps for software operators (i.e., you), especially during high-consequence, high-tempo situations (aka incidents).

📺 Watch now: https://bit.ly/4uqOD6j

📄 #transcript included

#DevOps #AI #IncidentResponse #Automation

The more advanced your automated systems are, the more critical - and flawed - the human element becomes.

In this #InfoQ video, J. Paul Reed breaks down the "Ironies of Automation" - and how modern AI creates dangerous new traps for software operators (i.e., you), especially during high-consequence, high-tempo situations (aka incidents).

📺 Watch now: https://bit.ly/4uqOD6j

📄 #transcript included

#DevOps #AI #IncidentResponse #Automation

The more advanced your automated systems are, the more critical - and flawed - the human element becomes.

In this #InfoQ video, J. Paul Reed breaks down the "Ironies of Automation" - and how modern AI creates dangerous new traps for software operators (i.e., you), especially during high-consequence, high-tempo situations (aka incidents).

📺 Watch now: https://bit.ly/4uqOD6j

📄 #transcript included

#DevOps #AI #IncidentResponse #Automation

The more advanced your automated systems are, the more critical - and flawed - the human element becomes.

In this #InfoQ video, J. Paul Reed breaks down the "Ironies of Automation" - and how modern AI creates dangerous new traps for software operators (i.e., you), especially during high-consequence, high-tempo situations (aka incidents).

📺 Watch now: https://bit.ly/4uqOD6j

📄 #transcript included

#DevOps #AI #IncidentResponse #Automation

#CaseStudy - #Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform.

The results?
➡️ Lower operational load
➡️ Improved resolution speed
➡️ More engineering time spent on platform improvements instead of firefighting

🔗 Learn more about their architecture: https://bit.ly/4nL50bi

#InfoQ #SoftwareArchitecture #AI #AIAgents